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  1. B200 工学部/工学研究科
  2. B200e 会議資料
  3. 国際会議

A Study on Analysis of Design Variables in Pareto Solutions for Conceptual Design Optimization Problem of Hybrid Rocket Engine

http://hdl.handle.net/2237/20699
http://hdl.handle.net/2237/20699
13a91866-699b-4042-9517-fb9a4d2546ff
名前 / ファイル ライセンス アクション
1_A_Study_on_Analysis_of_Design_Variables.pdf 1_A_Study_on_Analysis_of_Design_Variables.pdf (326.0 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2014-11-05
タイトル
タイトル A Study on Analysis of Design Variables in Pareto Solutions for Conceptual Design Optimization Problem of Hybrid Rocket Engine
言語 en
著者 Kudo, Fumiya

× Kudo, Fumiya

WEKO 54067

en Kudo, Fumiya

Search repository
Yoshikawa, Tomohiro

× Yoshikawa, Tomohiro

WEKO 54068

en Yoshikawa, Tomohiro

Search repository
Furuhashi, Takeshi

× Furuhashi, Takeshi

WEKO 54069

en Furuhashi, Takeshi

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
キーワード
主題Scheme Other
主題 Analysis of Design Variables
キーワード
主題Scheme Other
主題 Visualization
キーワード
主題Scheme Other
主題 Isomap
キーワード
主題Scheme Other
主題 Multi-objective Genetic Algorithm
キーワード
主題Scheme Other
主題 Conceptual Design Optimization Problem of Hybrid Rocket Engine
抄録
内容記述 Genetic Algorithm (GA)[1] is one of the most effective methods in the application to optimization problems. Recently, Multi-objective Genetic Algorithm (MOGA) is focused on in the engineering design field. In this field, the analysis of design variables in the acquired Pareto solutions, which gives the designers useful knowledge in the applied problem, is important as well as the acquisition of advanced solutions. This paper proposes a new visualization method using Isomap which visualizes the geometric distances of solutions in the design variable space considering their distances in the objective space. The proposed method enables a user to analyze the design variables of the acquired solutions considering their relationship in the objective space. This paper applies the proposed method to the conceptual design optimization problem of hybrid rocket engine and studies the effectiveness of the proposed method. It shows that the visualized result gives some knowledges on the features between design variables and fitness values in the acquired Pareto solutions.
言語 en
内容記述タイプ Abstract
内容記述
内容記述 2011 IEEE Congress on Evolutionary Computation (CEC). June 5-8, 2011, Ritz-Carlton, New Orleans, LA, USA
言語 en
内容記述タイプ Other
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/CEC.2011.5949936
ISBN
関連タイプ isPartOf
識別子タイプ ISBN
関連識別子 978-1-4244-7834-7
書誌情報 en : 2011 IEEE Congress on Evolutionary Computation (CEC)

p. 2558-2562, 発行日 2011-06
著者版フラグ
値 author
URI
識別子 http://dx.doi.org/10.1109/CEC.2011.5949936
識別子タイプ DOI
URI
識別子 http://hdl.handle.net/2237/20699
識別子タイプ HDL
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